How SignalCards turns Reddit conversations into Opportunity Cards

1. Collect. We look at public Reddit conversations in communities where founders, operators, marketers, agencies, builders, and customers discuss tools, workflows, switching decisions, and problems.
2. Filter for eligibility. Posts are filtered against SignalCards’ market and subreddit criteria and run through our research pipeline. Posts that clear those filters are what we call “posts reviewed.”
3. Analyze. Eligible posts and their top comments are analyzed for a concrete pain, the persona behind it, named tools and alternatives, buying signals, and timing.
4. Curate. Only the strongest signals become Opportunity Cards, each with pain, why it matters, why now, a suggested action, and source context where available.

SignalCards publishes two kinds of reports — both included in the same Monthly Intelligence subscription:

• Fresh Issues are recent editorial releases built from live monitoring and active research windows. They are designed to surface timely opportunities while the conversations are still recent.
• Historical Archives are rebuilt after the fact from larger monthly Reddit datasets. They provide broader coverage of older research windows.

Because the source pools are different, post counts can vary significantly between fresh issues and archives. But both formats go through the same editorial principle: only the strongest signals become Opportunity Cards. A Historical Archive is not a lesser or a larger report — just a different time window with a deeper source pool.

Historical archives are added progressively as older research windows are rebuilt. This means the library can grow both forward with fresh issues and backward with historical archives.

“Posts reviewed” is the number of posts that passed SignalCards’ market/subreddit eligibility filters and were processed by the research pipeline for that report. It is not the total size of Reddit, and it is not a raw technical count of everything a dataset contains. It’s the eligible pool we actually worked through for that report.

We look for recurring pains, competitor complaints, migration intent, product gaps, workarounds, buying evidence, named alternatives, and tools people are actively comparing or leaving. Automated tooling helps surface candidates, but the final product is an editorial research brief — not a raw feed.

Cards are grounded strictly in what the source says — we don’t invent competitors, prices, or migrations. Each card is graded by signal strength, and the report is curated and capped to keep it readable and actionable. SignalCards deliberately does not publish every detected signal, and does not guarantee leads or business success.

“Posts reviewed” means posts that passed SignalCards’ eligibility and relevance filters and were processed by the research pipeline. A larger historical dataset can produce a much larger reviewed-post count — an archive can review many more posts than a fresh issue.

That does not mean the final report should be longer. SignalCards intentionally curates every report down to a compact set of Opportunity Cards. More posts reviewed means broader coverage and more confidence in the selection — not a proportional increase in published cards. So a Historical Archive and a Fresh Issue can land at a similar card count from very different source pools.

• Not a lead list.
• Not a raw alert or social-listening feed.
• Not a guarantee of market success or revenue.
• Not a replacement for your own customer discovery.

SignalCards points you at real, source-backed signals worth investigating — the validation is still yours to do.